In this course, the basic concepts of Machine Learning are taught and applied to different domains or fields of research. You will learn to identify the potential applications that Machine Learning can have in practice. It will be defined how to approach each problem with different regression and classification strategies. The models generated will be evaluated to validate their application in real environments.
The potential of Machine Learning and the challenges it can face will be discussed. And all this, with a practical part after each lesson in which the most powerful tools will be used, where models can be built, validated and deployed using Python, learning a working model that will allow the development of intelligent applications and solutions, data analysis and predictive models. Practical examples will be given.